Survey on Data Quality

被引：0

作者：

Chen, Mengjie ^{[1
]}

Song, Meina ^{[1
]}

Han, Jing ^{[1
]}

E, Haihong ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, PCN&CAD Ctr, Beijing 100876, Peoples R China

来源：

PROCEEDINGS OF THE 2012 WORLD CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGIES | 2012年

关键词：

data quality; data quality management; quality assessment; quality tool;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

With high quality of data, enterprises will add value of business. How-ever, poor data has resulted in waste of resource, low set-vice efficiency and high costs in every area. In this paper, we firstly focus on basic issues of data quality, like where the quality problems come from and how to describe it. Then we study some cases of data quality management from a holistic enterprise perspective to the details of perspective, that is, hierarchical management architecture, frameworks, approaches and algorithm. Quality assessment of data is also an important theme, which is used to show whether data is good enough and to help people master credibility of data quality. We study some assessment algorithm and models. When problem occur, what tools should be used in a project is also included in the paper. Finally, we provide some outstanding research topics and unresolved issues for future.

引用

页码：1009 / 1013

页数：5